dorsal/arxiv
View SchemaEfficiency, Robustness and Stochasticity of Gene Regulatory Networks in Systems Biology: lambda Switch as a Working Example
| Authors | X. Zhu, L. Yin, L. Hood, D. Galas, P. Ao |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0512007 |
| URL | https://arxiv.org/abs/q-bio/0512007 |
Abstract
Phage lambda is one of the most studied biological models in modern molecular biology. Over the past 50 years quantitative experimental knowledge on this biological model has been accumulated at all levels: physics, chemistry, genomics, proteomics, functions, and more. All its components have been known to a great detail. The theoretical task has been to integrate its components to make the organism working quantitatively in a harmonic manner. This would test our biological understanding and would lay a solid fundamental for further explorations and applications, an obvious goal of systems biology. One of the outstanding challenges in doing so has been the so-called stability puzzle of lambda switch: the biologically observed robustness and its difficult mathematical reconstruction based on known experimental values. In this chapter we review the recent theoretical and experimental efforts on tackling this problem. An emphasis is put on the minimum quantitative modeling where a successful numerical agreement between experiments and modeling has been achieved. A novel method tentatively named stochastic dynamical structure analysis emerged from such study is also discussed within a broad modeling perspective.
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"abstract": "Phage lambda is one of the most studied biological models in modern molecular\nbiology. Over the past 50 years quantitative experimental knowledge on this\nbiological model has been accumulated at all levels: physics, chemistry,\ngenomics, proteomics, functions, and more. All its components have been known\nto a great detail. The theoretical task has been to integrate its components to\nmake the organism working quantitatively in a harmonic manner. This would test\nour biological understanding and would lay a solid fundamental for further\nexplorations and applications, an obvious goal of systems biology. One of the\noutstanding challenges in doing so has been the so-called stability puzzle of\nlambda switch: the biologically observed robustness and its difficult\nmathematical reconstruction based on known experimental values. In this chapter\nwe review the recent theoretical and experimental efforts on tackling this\nproblem. An emphasis is put on the minimum quantitative modeling where a\nsuccessful numerical agreement between experiments and modeling has been\nachieved. A novel method tentatively named stochastic dynamical structure\nanalysis emerged from such study is also discussed within a broad modeling\nperspective.",
"arxiv_id": "q-bio/0512007",
"authors": [
"X. Zhu",
"L. Yin",
"L. Hood",
"D. Galas",
"P. Ao"
],
"categories": [
"q-bio.SC",
"cond-mat.other",
"nlin.AO",
"q-bio.MN",
"q-bio.OT"
],
"title": "Efficiency, Robustness and Stochasticity of Gene Regulatory Networks in Systems Biology: lambda Switch as a Working Example",
"url": "https://arxiv.org/abs/q-bio/0512007"
},
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